Publication detail

Recent advances and applications of surrogate models for finite element method computations: a review

KŮDELA, J. MATOUŠEK, R.

Original Title

Recent advances and applications of surrogate models for finite element method computations: a review

Type

journal article in Web of Science

Language

English

Original Abstract

The utilization of surrogate models to approximate complex systems has recently gained increased popularity. Because of their capability to deal with black-box problems and lower computational requirements, surrogates were successfully utilized by researchers in various engineering and scientific fields. An efficient use of surrogates can bring considerable savings in computational resources and time. Since literature on surrogate modelling encompasses a large variety of approaches, the appropriate choice of a surrogate remains a challenging task. This review discusses significant publications where surrogate modelling for finite element method-based computations was utilized. We familiarize the reader with the subject, explain the function of surrogate modelling, sampling and model validation procedures, and give a description of the different surrogate types. We then discuss main categories where surrogate models are used: prediction, sensitivity analysis, uncertainty quantification, and surrogate-assisted optimization, and give detailed account of recent advances and applications. We review the most widely used and recently developed software tools that are used to apply the discussed techniques with ease. Based on a literature review of 180 papers related to surrogate modelling, we discuss major research trends, gaps, and practical recommendations. As the utilization of surrogate models grows in popularity, this review can function as a guide that makes surrogate modelling more accessible.

Keywords

Surrogate model; Surrogate-assisted optimization; Sensitivity analysis; Uncertainty quantification; Finite element method

Authors

KŮDELA, J.; MATOUŠEK, R.

Released

17. 7. 2022

Publisher

Springer

ISBN

1432-7643

Periodical

SOFT COMPUTING

Year of study

26

Number

1

State

United States of America

Pages from

13709

Pages to

13733

Pages count

25

URL

https://link.springer.com/article/10.1007/s00500-022-07362-8

Full text in the Digital Library

http://hdl.handle.net/11012/245272

BibTex

@article{BUT178561,
  author="Jakub {Kůdela} and Radomil {Matoušek}",
  title="Recent advances and applications of surrogate models for finite element method computations: a review",
  journal="SOFT COMPUTING",
  year="2022",
  volume="26",
  number="1",
  pages="13709--13733",
  doi="10.1007/s00500-022-07362-8",
  issn="1432-7643",
  url="https://link.springer.com/article/10.1007/s00500-022-07362-8"
}